Andreas Joseph
Andreas Joseph
Research Economist, Bank of England
Verified email at - Homepage
Cited by
Cited by
Machine learning at central banks
C Chakraborty, A Joseph
Staff Working Paper Series, 2017
Parametric inference with universal function approximators
A Joseph
arXiv, 1903.04209, 2019
Credit growth, the yield curve and financial crisis prediction: evidence from a machine learning approach
K Bluwstein, M Buckmann, A Joseph, S Kapadia, Ö Simsek
Journal of International Economics, 2023
All you need is cash: Corporate cash holdings and investment after the financial crisis
A Joseph, C Kneer, N Van Horen, J Saleheen
CEPR Discussion Paper No. DP14199, 2022
OTC Microstructure in a Period of Stress: A Multi-layered Network Approach
A Joseph, M Vasios
Journal of Banking & Finance, 106400, 2022
Cross-border portfolio investment networks and indicators for financial crises
A Joseph, S Joseph, G Chen
Scientific Reports 4 (3991), 2014
Compendium on the diagnostic toolkit for competitiveness
P Karadeloglou, K Benkovskis, G Aiello, B Bluhm, E Bobeica, C Buelens, ...
Network centrality and key economic indicators: A case study
A Joseph, G Chen
Network Models in Economics and Finance, 159-180, 2014
Composite centrality: A natural scale for complex evolving networks
AC Joseph, G Chen
Physica D: Nonlinear Phenomena 267, 58-67, 2014
Forecasting UK inflation bottom up
GK Andreas Joseph, Galina Potjagailo, Eleni Kalamara
Bank of England Staff Working Paper 915, 2021
An interpretable machine learning workflow with an application to economic forecasting
M Buckmann, A Joseph
An Interpretable Machine Learning Workflow with An Application to Economic …, 2022
Complex Networks & Their Applications V: Proceedings of the 5th International Workshop on Complex Networks and Their Applications (COMPLEX NETWORKS 2016)
H Cherifi, S Gaito, W Quattrociocchi, A Sala
Springer, 2016
Deep reinforcement learning in a monetary model
M Chen, A Joseph, M Kumhof, X Pan, R Shi, X Zhou
arXiv preprint arXiv:2104.09368, 2021
Machine learning at central banks. Bank of England
C Chakraborty, A Joseph
Working Paper, 2017
Netconomics: Novel Forecasting Techniques from the Combination of Big Data, Network Science and Economics
A Joseph, I Vodenska, E Stanley, G Chen
arXiv preprint arXiv:1403.0848, 2014
Degree-energy-based local random routing strategies for sensor networks
F Yan, AKH Yeung, AC Joseph, G Chen
Communications in Nonlinear Science and Numerical Simulation 20 (1), 250-262, 2015
A framework for statistical inference on machine learning models
A Joseph, S Regressions
Working Paper, Bank of England, 2019
Opening the machine learning black box
A Joseph
Bank Underground Blog, Bank of England, 2019
Interactions between financial and environmental networks in OECD countries
F Ruzzenenti, A Joseph, E Ticci, P Vozzella, G Gabbi
Plos one 10 (9), e0136767, 2015
Opening the black box: Machine learning interpretability and inference tools with an application to economic forecasting
M Buckmann, A Joseph, H Robertson
Data Science for Economics and Finance: Methodologies and Applications, 43-63, 2021
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